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2. ISSN: 2319-345X
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Vol. 12, Issue. 3,July 2023
SMART PEDESTRIAN CROSSING AND TRAFFIC MANAGEMENT SYSTEM
M CHANDRA RAO1
, B. JOSHNA2
, K. MANOHARSHITHA3
, KUSHNUMA4
, K. HEMA SIRISHA5
ABSTRACT This paper presents a smart wireless control system for pedestrian crossing
areas that can effectively manage traffic and ensure the safety of pedestrians, particularly
school children. The system uses smart sensing technology to detect the presence of
pedestrians and control the traffic lights accordingly. The system is portable, LED-based, and
cost-effective, making it easy to install and maintain. The system was successfully tested and
validated on a university campus, meeting all design criteria. In addition, the Intelligent
Traffic Signal Management and Control System is a software-based solution that uses a
scheduling algorithm to manage traffic on four-way junctions. The system allocates time to
each signal based on the number of vehicles waiting on that side, thereby reducing traffic
jams and improving traffic flow. To further enhance road safety and reduce noise pollution,
the two systems have been merged in this model. Stage 1 uses the smart traffic control system
to allow pedestrians to cross safely, while stage 2 employs smart sound sensing technology to
change the traffic lights from red to green when noise levels decrease, reducing noise
pollution and creating a safer environment. This project aims to raise awareness about
reducing pollution, following traffic rules, and promoting a better society. At junctions, the
system will operate in a loop, such as A-B-C-D.
Keywords—Servo motor, Gear motor, L293D motor driver
INTRODUCTION
Frequently, people violate traffic rules at
signal points causing disturbance, traffic
congestion, and accidents. To address this
issue, we have implemented a road blocker
that stops vehicles on respective paths
based on the traffic signal, preventing
violations of traffic rules. Additionally, we
have installed speed breakers to control the
speed of vehicles, and the energy
generated by the speed breakers can be
utilized to operate the road blocker. We
have also incorporated a voice-activated
sensor for emergency vehicles like
ambulances and government class one
vehicles. India has seen significant growth
in the number of motor vehicles on the
road, with a growth rate of almost 20%
over the past decade. To manage the
increasing traffic and number of speed
breakers, we have developed an innovative
device to channelize the energy wasted by
vehicles on speed breakers to some useful
work. Traffic lights at intersecting streets
require sophisticated control and
coordination to ensure smooth and safe
traffic flow.
ASSISTANT PROFESSOR1
, DEPARTMENT OF IOT, MALLA REDDY ENGINEERING COLLEGE FOR WOMEN,
HYDERABAD
UGSCHOLAR2,3,4&5
, DEPARTMENT OF IOT, MALLA REDDY ENGINEERING COLLEGE FOR WOMEN, HYDERABAD

3. For safety purposes, we have introduced a
mechanism in which the signal turns red to
block the path through the signal and a
series of rods with varying heights are
used in place of speed breakers. When the
signal turns green, the rods are lowered,
and the path is opened. The battery is used
as a source and is charged through the
mechanism provided. The movement of
vehicles up and down the speed breaker
rotates the shaft of the alternator, and the
battery gets charged, making it available as
a source for the system. Electronic circuits
have replaced electromechanical
controllers in recent times, and they offer
high accuracy and fault tolerance. We have
also provided emergency call functionality
for ambulance and fire brigade vehicles
using a sensor. During an emergency, the
traffic is blocked based on the priority call
levels. The project is developed to meet
the requirements of a solid-state traffic
light controller using a microcontroller as
the main controlling element and LEDs as
the indication of light. The microcontroller
is programmed to adjust the timing and
phasing to meet changing traffic
conditions, and the circuit is reliable,
compact, and cost-effective.
PROPOSED Our project integrates both
traffic control and road safety systems. It
consists of two stages. In stage 1, a smart
traffic control system is used to regulate
pedestrian traffic. In stage 2, a smart sound
sensing setup is incorporated into the
traffic lights. When noise levels decrease,
the traffic lights switch from red to green,
allowing people to cross. This approach
not only reduces noise pollution but also
improves safety by reducing accident rates.
Our project aims to raise awareness of
traffic rules, reduce pollution, and promote
a safer and more secure environment. At
junctions, traffic flow follows a loop
pattern (A-B-C-D). When A is blocked, B
is released, while C and D remain blocked.
This loop ensures maximum traffic
awareness and reduces accidents. In
emergencies, physical traffic controllers
will address the situation, as our project is
an addition to the existing traffic system
FLOW CHART
Design and implementation The
proposed traffic system includes an
Arduino Mega connected to motor drivers,
which control four gear motors. The Micro
Controller is also connected to an output
display and a four-way signal display. into
the system to monitor incoming traffic at
the signals. To accommodate the four-way
servo motor setup, a second Arduino Uno
is added
LITERATURE SURVEY By taking [1]
R. Methorst, R. Eenink, J. Cardoso, K.
Machata, and J. Malasek, ‗‗Single
unprotected road user crashes: Europe we
have a problem!,‘‘ Transp. Res. Procedia
we get Unprotected Road Users (URU) are
a subset of Vulnerable Road Users (VRU)
who are not protected in their vehicles:
pedestrians, cyclists and powered two-
wheelers.[1] EU statistics for 2014 show
that their share in road traffic fatalities was
22% for pedestrians, 8% for cyclists and
18% for Powered Two-Wheelers, in total
47% of the fatalities. From explorative
studies regarding injured road traffic
casualties, it is found that about two thirds
of the transportation casualties are
Unprotected Road Users, of which two
thirds are single accidents, i.e., crashes

4. where no other road user is involved.[2]
Most of these single crashes are not (yet)
detected in the standard police reported
accident statistics, but do represent costs to
society that probably exceed crash costs of
car related crashes. It can be expected that
the shares of URU fatal and injury crashes
will increase, particularly because of the
ageing of the population, urbanization and
despite ICT/ITS developments. Some of
these crashes can be prevented by
relatively simple measures, others need
more investments e.g., infrastructure,
legislation or enforcement. From a policy
point of view, it will be wise to address
this issue, not only for road safety reasons,
but also because the elderly is getting more
numerous and a serious economic and
political factor.[3] Then E. A. Mueller,
―Aspects of the history of traffic signals,‖
IEEE Trans on Vehicular Technology it
explains about Emerging trends in
software development has been changed
due to the huge amount of data, growth of
internet, mobile, dynamic and smart
applications. These applications consist of
small, intelligent, flexible and distributed
components known as agents. This
research proposes agentbased autonomous
controller (ABAC) architecture for
managing road traffic. It uses time series
of historical traffic intensity to estimate the
appropriate time allocation for each signal
at a given intersection.[4] Our approach
takes care of the exceptional appearance of
rescue vehicles (e.g., ambulance) in order
to ensure a smooth flow of the traffic. The
ABAC architecture counts on several AI
techniques germane to assessing the
intensity of the traffic using image
recognition algorithms. It also counts on
environment sensors (sound sensors) in
order to detect the advent of emergency
vehicles.[5] By talking all the measures we
designed project to overcome accidents
happing by traffic signals violations as In
this model we have merged both traffic
control system and road safety system
together, as at stage 1 people will cross the
traffic at pedestrian with smart traffic
control system & at stage 2 ,for reduction
of noise pollution we added smart sound
sensing setup that are connected to traffic
lights so whenever reduction of noise takes
place then the Red indication in traffic
lights will goes to Green and allows the
people to go , by this 2 stages of work we
can conclude a better noiseless save &
secure environment and also reduce the
accidents rate in a smart way. The ABCD
traffic management architecture shows a
high degree of adaptability leading to the
least need for human intervention.
CONLUSION In conclusion, this paper
proposes a smart wireless control system
that effectively manages traffic and
ensures pedestrian safety in crossing areas,
especially for school children. The system
uses smart sensing technology, is portable,
cost-effective, and easy to install and
maintain. Moreover, the Intelligent Traffic
Signal Management and Control System
optimizes traffic flow on four-way
junctions using a scheduling algorithm that
allocates time to each signal based on the
number of waiting vehicles. By merging
both systems, this model enhances road
safety and reduces noise pollution, creating
a safer environment. This project aims to
promote awareness of reducing pollution
and following traffic rules for a better
society. The proposed system will operate
in a loop at junctions, such as A-B-C-D,
and meets all design criteria.
REFRENCES
[1] R. Methorst, R. Eenink, J. Cardoso, K.
Machata, and J. Malasek, ‗‗Single
unprotected road user crashes: Europe we
have a problem!‘‘ Transp. Res. Procedia,
vol. 14, pp. 2297–2305, Jan. 2016.
[2] M. Casey, MPEG-7 Sound Recognition
Tools, Mitsubishi Electric Research Labs,
Cambridge, MA, Unites States of America.
(2020)
[3] Road Traffic Injuries. [Online].
Available: https://www.who. int/news-
room/fact-sheets/detail/road-traffic-injuries
VOLUME 8, 2020 106119 W. K. Saad et
al.: Design and Implementation of Portable

5. Smart Wireless Pedestrian Crossing
Control System
[4] E. A. Mueller, ―Aspects of the history
of traffic signals,‖ IEEE Trans on
Vehicular Technology, vol. 19, no. 1, pp.
6–17, 1970.
[5] C. Bastien, R. Welling‘s, and B.
Burnett, ‗‗An evidence-based method to
calculate pedestrian crossing speeds in
vehicle collisions (PCSC),‘‘Accident Anal.
Prevention, vol. 118, pp. 66–76, Sep. 2018.
[6] P. Horn, ―Autonomic computing:
IBM‘s perspective on the state of
information technology,‖ IBM Journal,
2001.